Pandas Profiling Report

Dataset statistics

Number of variables	32
Number of observations	1000000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	244.1 MiB
Average record size in memory	256.0 B

Variable types

Categorical	14
Numeric	18

Alerts

`device_fraud_count` has constant value ""	Constant
`prev_address_months_count` is highly overall correlated with `current_address_months_count`	High correlation
`current_address_months_count` is highly overall correlated with `prev_address_months_count`	High correlation
`velocity_24h` is highly overall correlated with `velocity_4w` and 1 other fields	High correlation
`velocity_4w` is highly overall correlated with `velocity_24h` and 1 other fields	High correlation
`bank_branch_count_8w` is highly overall correlated with `bank_months_count`	High correlation
`credit_risk_score` is highly overall correlated with `proposed_credit_limit`	High correlation
`bank_months_count` is highly overall correlated with `bank_branch_count_8w`	High correlation
`proposed_credit_limit` is highly overall correlated with `credit_risk_score`	High correlation
`month` is highly overall correlated with `velocity_24h` and 1 other fields	High correlation
`fraud_bool` is highly imbalanced (91.2%)	Imbalance
`employment_status` is highly imbalanced (51.2%)	Imbalance
`foreign_request` is highly imbalanced (83.0%)	Imbalance
`source` is highly imbalanced (93.9%)	Imbalance
`device_distinct_emails_8w` is highly imbalanced (88.5%)	Imbalance
`bank_branch_count_8w` has 144376 (14.4%) zeros	Zeros
`month` has 132440 (13.2%) zeros	Zeros

Reproduction

Analysis started	2023-06-04 03:03:44.524546
Analysis finished	2023-06-04 03:08:19.120593
Duration	4 minutes and 34.6 seconds
Software version	ydata-profiling vv4.2.0
Download configuration	config.json

fraud_bool
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0	988971
1	11029

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	988971	98.9%
1	11029	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	988971	98.9%
1	11029	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	988971	98.9%
1	11029	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	988971	98.9%
1	11029	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	988971	98.9%
1	11029	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	988971	98.9%
1	11029	1.1%

income
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5626956

Minimum	0.1
Maximum	0.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.3
median	0.6
Q3	0.8
95-th percentile	0.9
Maximum	0.9
Range	0.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.2903426
Coefficient of variation (CV)	0.5159852
Kurtosis	-1.2993664
Mean	0.5626956
Median Absolute Deviation (MAD)	0.2
Skewness	-0.38633741
Sum	562695.6
Variance	0.084298826
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0.9	221419	22.1%
0.1	157449	15.7%
0.8	146650	14.7%
0.6	111973	11.2%
0.7	105109	10.5%
0.4	81364	8.1%
0.2	69345	6.9%
0.5	55858	5.6%
0.3	50833	5.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1	157449	15.7%
0.2	69345	6.9%
0.3	50833	5.1%
0.4	81364	8.1%
0.5	55858	5.6%
0.6	111973	11.2%
0.7	105109	10.5%
0.8	146650	14.7%
0.9	221419	22.1%

Value	Count	Frequency (%)
0.9	221419	22.1%
0.8	146650	14.7%
0.7	105109	10.5%
0.6	111973	11.2%
0.5	55858	5.6%
0.4	81364	8.1%
0.3	50833	5.1%
0.2	69345	6.9%
0.1	157449	15.7%

name_email_similarity
Real number (ℝ)

Distinct	998861
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.49369409

Minimum	1.4345505 × 10^-6
Maximum	0.99999932
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1.4345505 × 10^-6
5-th percentile	0.068085985
Q1	0.22521632
median	0.49215253
Q3	0.75556731
95-th percentile	0.91807338
Maximum	0.99999932
Range	0.99999788
Interquartile range (IQR)	0.53035099

Descriptive statistics

Standard deviation	0.2891248
Coefficient of variation (CV)	0.58563552
Kurtosis	-1.2802792
Mean	0.49369409
Median Absolute Deviation (MAD)	0.2651734
Skewness	0.042839499
Sum	493694.09
Variance	0.08359315
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.09247173822	2	< 0.1%
0.2098960644	2	< 0.1%
0.1001935175	2	< 0.1%
0.7199661571	2	< 0.1%
0.7216062298	2	< 0.1%
0.8475566372	2	< 0.1%
0.7523593333	2	< 0.1%
0.5504838173	2	< 0.1%
0.621649387	2	< 0.1%
0.7846027083	2	< 0.1%
Other values (998851)	999980	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.434550485 × 10^-6	1	< 0.1%
1.015544817 × 10^-5	1	< 0.1%
1.901656104 × 10^-5	1	< 0.1%
1.93965659 × 10^-5	1	< 0.1%
2.042122187 × 10^-5	1	< 0.1%
2.230767456 × 10^-5	1	< 0.1%
2.326447251 × 10^-5	1	< 0.1%
2.51169962 × 10^-5	1	< 0.1%
3.045742164 × 10^-5	1	< 0.1%
3.198422688 × 10^-5	1	< 0.1%

Value	Count	Frequency (%)
0.9999993178	1	< 0.1%
0.9999991158	1	< 0.1%
0.9999988877	1	< 0.1%
0.9999986598	1	< 0.1%
0.9999986427	1	< 0.1%
0.999998537	1	< 0.1%
0.9999984384	1	< 0.1%
0.9999983273	1	< 0.1%
0.9999981113	1	< 0.1%
0.999997937	1	< 0.1%

prev_address_months_count
Real number (ℝ)

Distinct	374
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.718568

Minimum	-1
Maximum	383
Zeros	0
Zeros (%)	0.0%
Negative	712920
Negative (%)	71.3%
Memory size	7.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	12
95-th percentile	98
Maximum	383
Range	384
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	44.04623
Coefficient of variation (CV)	2.6345695
Kurtosis	20.031089
Mean	16.718568
Median Absolute Deviation (MAD)	0
Skewness	4.0638882
Sum	16718568
Variance	1940.0704
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	712920	71.3%
11	11475	1.1%
28	10275	1.0%
29	10150	1.0%
10	10082	1.0%
27	10007	1.0%
30	9362	0.9%
26	9036	0.9%
12	8712	0.9%
31	8526	0.9%
Other values (364)	199455	19.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	712920	71.3%
5	1	< 0.1%
6	53	< 0.1%
7	409	< 0.1%
8	1962	0.2%
9	5558	0.6%
10	10082	1.0%
11	11475	1.1%
12	8712	0.9%
13	4448	0.4%

Value	Count	Frequency (%)
383	1	< 0.1%
381	1	< 0.1%
377	3	< 0.1%
375	1	< 0.1%
374	1	< 0.1%
373	2	< 0.1%
372	1	< 0.1%
371	5	< 0.1%
370	2	< 0.1%
369	2	< 0.1%

current_address_months_count
Real number (ℝ)

Distinct	423
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.587867

Minimum	-1
Maximum	428
Zeros	9609
Zeros (%)	1.0%
Negative	4254
Negative (%)	0.4%
Memory size	7.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	3
Q1	19
median	52
Q3	130
95-th percentile	277
Maximum	428
Range	429
Interquartile range (IQR)	111

Descriptive statistics

Standard deviation	88.406599
Coefficient of variation (CV)	1.0210045
Kurtosis	1.3568646
Mean	86.587867
Median Absolute Deviation (MAD)	41
Skewness	1.3869977
Sum	86587867
Variance	7815.7268
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	16376	1.6%
7	16270	1.6%
8	16089	1.6%
5	15896	1.6%
9	15688	1.6%
4	15030	1.5%
10	14739	1.5%
11	13988	1.4%
3	13986	1.4%
12	13063	1.3%
Other values (413)	848875	84.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	4254	0.4%
0	9609	1.0%
1	11297	1.1%
2	12741	1.3%
3	13986	1.4%
4	15030	1.5%
5	15896	1.6%
6	16376	1.6%
7	16270	1.6%
8	16089	1.6%

Value	Count	Frequency (%)
428	1	< 0.1%
425	2	< 0.1%
424	1	< 0.1%
419	1	< 0.1%
418	2	< 0.1%
417	1	< 0.1%
416	2	< 0.1%
414	1	< 0.1%
413	1	< 0.1%
412	4	< 0.1%

customer_age
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.68908

Minimum	10
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	10
5-th percentile	20
Q1	20
median	30
Q3	40
95-th percentile	50
Maximum	90
Range	80
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	12.025799
Coefficient of variation (CV)	0.35696429
Kurtosis	-0.11520329
Mean	33.68908
Median Absolute Deviation (MAD)	10
Skewness	0.47807881
Sum	33689080
Variance	144.61983
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
30	311433	31.1%
20	245855	24.6%
40	238712	23.9%
50	140353	14.0%
60	34770	3.5%
10	20987	2.1%
70	6517	0.7%
80	1297	0.1%
90	76	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	20987	2.1%
20	245855	24.6%
30	311433	31.1%
40	238712	23.9%
50	140353	14.0%
60	34770	3.5%
70	6517	0.7%
80	1297	0.1%
90	76	< 0.1%

Value	Count	Frequency (%)
90	76	< 0.1%
80	1297	0.1%
70	6517	0.7%
60	34770	3.5%
50	140353	14.0%
40	238712	23.9%
30	311433	31.1%
20	245855	24.6%
10	20987	2.1%

days_since_request
Real number (ℝ)

Distinct	989330
Distinct (%)	98.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0257052

Minimum	4.0368598 × 10^-9
Maximum	78.456904
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	4.0368598 × 10^-9
5-th percentile	0.0014230075
Q1	0.0071932463
median	0.015175738
Q3	0.026330688
95-th percentile	6.6822723
Maximum	78.456904
Range	78.456904
Interquartile range (IQR)	0.019137441

Descriptive statistics

Standard deviation	5.3818346
Coefficient of variation (CV)	5.2469603
Kurtosis	106.56921
Mean	1.0257052
Median Absolute Deviation (MAD)	0.0090633798
Skewness	9.2789546
Sum	1025705.2
Variance	28.964144
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.01368202621	3	< 0.1%
0.03107554033	3	< 0.1%
0.0265802624	3	< 0.1%
0.02786090825	3	< 0.1%
0.02932730007	3	< 0.1%
0.0185798607	3	< 0.1%
0.007416097159	3	< 0.1%
0.01370169423	3	< 0.1%
0.01649002747	3	< 0.1%
0.03069887797	3	< 0.1%
Other values (989320)	999970	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.036859789 × 10^-9	1	< 0.1%
3.112790756 × 10^-8	1	< 0.1%
4.284949667 × 10^-8	1	< 0.1%
6.365528719 × 10^-8	1	< 0.1%
6.467590399 × 10^-8	1	< 0.1%
6.688882901 × 10^-8	1	< 0.1%
8.406701996 × 10^-8	1	< 0.1%
9.943647861 × 10^-8	1	< 0.1%
1.414623874 × 10^-7	1	< 0.1%
1.531941115 × 10^-7	1	< 0.1%

Value	Count	Frequency (%)
78.45690384	1	< 0.1%
76.58147717	1	< 0.1%
76.57726536	1	< 0.1%
76.29663468	1	< 0.1%
76.16477587	1	< 0.1%
75.98932696	1	< 0.1%
75.96965655	1	< 0.1%
75.8422922	1	< 0.1%
75.82975624	1	< 0.1%
75.8208081	1	< 0.1%

intended_balcon_amount
Real number (ℝ)

Distinct	994971
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.6614985

Minimum	-15.530555
Maximum	112.95693
Zeros	0
Zeros (%)	0.0%
Negative	742523
Negative (%)	74.3%
Memory size	7.6 MiB

Quantile statistics

Minimum	-15.530555
5-th percentile	-1.5880108
Q1	-1.1814879
median	-0.83050654
Q3	4.9841758
95-th percentile	50.394003
Maximum	112.95693
Range	128.48748
Interquartile range (IQR)	6.1656638

Descriptive statistics

Standard deviation	20.236155
Coefficient of variation (CV)	2.3363341
Kurtosis	6.8466706
Mean	8.6614985
Median Absolute Deviation (MAD)	0.42598887
Skewness	2.5071734
Sum	8661498.5
Variance	409.50195
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.7715815258	3	< 0.1%
-0.8829498799	3	< 0.1%
-0.6381924112	3	< 0.1%
-0.5543811021	3	< 0.1%
-1.125845899	3	< 0.1%
-1.442709496	3	< 0.1%
-1.433399572	3	< 0.1%
-1.532082595	3	< 0.1%
-1.564566028	3	< 0.1%
-0.7245396366	3	< 0.1%
Other values (994961)	999970	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-15.53055484	1	< 0.1%
-15.38759018	1	< 0.1%
-15.16738779	1	< 0.1%
-14.5556558	1	< 0.1%
-14.38393244	1	< 0.1%
-14.29225918	1	< 0.1%
-14.0649795	1	< 0.1%
-13.90139264	1	< 0.1%
-13.70559412	1	< 0.1%
-13.20278612	1	< 0.1%

Value	Count	Frequency (%)
112.9569277	1	< 0.1%
112.7561112	1	< 0.1%
112.4862322	1	< 0.1%
112.4520783	1	< 0.1%
112.3502013	1	< 0.1%
112.3251234	1	< 0.1%
112.253107	1	< 0.1%
112.2090762	1	< 0.1%
112.1350146	1	< 0.1%
111.9890434	1	< 0.1%

payment_type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

AB	370554
AA	258249
AC	252071
AD	118837
AE	289

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2000000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AA
2nd row	AB
3rd row	AC
4th row	AB
5th row	AB

Common Values

Value	Count	Frequency (%)
AB	370554	37.1%
AA	258249	25.8%
AC	252071	25.2%
AD	118837	11.9%
AE	289	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ab	370554	37.1%
aa	258249	25.8%
ac	252071	25.2%
ad	118837	11.9%
ae	289	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
A	1258249	62.9%
B	370554	18.5%
C	252071	12.6%
D	118837	5.9%
E	289	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2000000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	1258249	62.9%
B	370554	18.5%
C	252071	12.6%
D	118837	5.9%
E	289	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2000000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	1258249	62.9%
B	370554	18.5%
C	252071	12.6%
D	118837	5.9%
E	289	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	1258249	62.9%
B	370554	18.5%
C	252071	12.6%
D	118837	5.9%
E	289	< 0.1%

zip_count_4w
Real number (ℝ)

Distinct	6306
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1572.692

Minimum	1
Maximum	6700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1
5-th percentile	478
Q1	894
median	1263
Q3	1944
95-th percentile	3677
Maximum	6700
Range	6699
Interquartile range (IQR)	1050

Descriptive statistics

Standard deviation	1005.3746
Coefficient of variation (CV)	0.63926982
Kurtosis	2.1399835
Mean	1572.692
Median Absolute Deviation (MAD)	462
Skewness	1.4566566
Sum	1.572692 × 10⁹
Variance	1010778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1020	798	0.1%
1062	782	0.1%
1042	770	0.1%
969	767	0.1%
1026	763	0.1%
996	762	0.1%
1030	759	0.1%
1033	755	0.1%
1102	754	0.1%
1112	753	0.1%
Other values (6296)	992337	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	5	< 0.1%
3	6	< 0.1%
4	3	< 0.1%
5	11	< 0.1%
6	9	< 0.1%
7	5	< 0.1%
8	7	< 0.1%
9	6	< 0.1%
10	7	< 0.1%

Value	Count	Frequency (%)
6700	1	< 0.1%
6676	1	< 0.1%
6634	1	< 0.1%
6568	1	< 0.1%
6563	1	< 0.1%
6540	1	< 0.1%
6528	1	< 0.1%
6525	1	< 0.1%
6521	1	< 0.1%
6519	1	< 0.1%

velocity_6h
Real number (ℝ)

Distinct	998687
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5665.2966

Minimum	-170.60307
Maximum	16715.565
Zeros	0
Zeros (%)	0.0%
Negative	44
Negative (%)	< 0.1%
Memory size	7.6 MiB

Quantile statistics

Minimum	-170.60307
5-th percentile	1273.4489
Q1	3436.3658
median	5319.7693
Q3	7680.7178
95-th percentile	11234.63
Maximum	16715.565
Range	16886.168
Interquartile range (IQR)	4244.352

Descriptive statistics

Standard deviation	3009.3807
Coefficient of variation (CV)	0.53119561
Kurtosis	0.0029981024
Mean	5665.2966
Median Absolute Deviation (MAD)	2099.3659
Skewness	0.56268209
Sum	5.6652966 × 10⁹
Variance	9056372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6204.521507	2	< 0.1%
7728.661243	2	< 0.1%
8016.615965	2	< 0.1%
4115.151268	2	< 0.1%
8287.485518	2	< 0.1%
4655.488909	2	< 0.1%
9469.107535	2	< 0.1%
5100.350313	2	< 0.1%
2090.464538	2	< 0.1%
6930.820178	2	< 0.1%
Other values (998677)	999980	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-170.6030724	1	< 0.1%
-155.4307304	1	< 0.1%
-139.0967681	1	< 0.1%
-130.456928	1	< 0.1%
-125.4000058	1	< 0.1%
-123.4603293	1	< 0.1%
-122.0716816	1	< 0.1%
-110.8212233	1	< 0.1%
-106.9782971	1	< 0.1%
-101.557304	1	< 0.1%

Value	Count	Frequency (%)
16715.5654	1	< 0.1%
16665.35953	1	< 0.1%
16640.74974	1	< 0.1%
16606.63885	1	< 0.1%
16605.49794	1	< 0.1%
16595.74824	1	< 0.1%
16579.10172	1	< 0.1%
16564.61032	1	< 0.1%
16556.02856	1	< 0.1%
16545.25413	1	< 0.1%

velocity_24h
Real number (ℝ)

Distinct	998940
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4769.782

Minimum	1300.3073
Maximum	9506.8966
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1300.3073
5-th percentile	2572.4986
Q1	3593.1791
median	4749.9212
Q3	5752.5742
95-th percentile	7348.9906
Maximum	9506.8966
Range	8206.5893
Interquartile range (IQR)	2159.3951

Descriptive statistics

Standard deviation	1479.2126
Coefficient of variation (CV)	0.31012164
Kurtosis	-0.37365389
Mean	4769.782
Median Absolute Deviation (MAD)	1083.1853
Skewness	0.33113356
Sum	4.769782 × 10⁹
Variance	2188070
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3906.416302	3	< 0.1%
4667.863854	3	< 0.1%
5082.326632	3	< 0.1%
6676.20131	3	< 0.1%
5227.581566	2	< 0.1%
5368.859057	2	< 0.1%
5986.81326	2	< 0.1%
5389.376198	2	< 0.1%
4615.781098	2	< 0.1%
5937.437413	2	< 0.1%
Other values (998930)	999976	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1300.307314	1	< 0.1%
1320.283991	1	< 0.1%
1324.786832	1	< 0.1%
1326.966135	1	< 0.1%
1328.410255	1	< 0.1%
1348.830318	1	< 0.1%
1357.998349	1	< 0.1%
1358.465736	1	< 0.1%
1366.47556	1	< 0.1%
1366.485702	1	< 0.1%

Value	Count	Frequency (%)
9506.896596	1	< 0.1%
9502.725577	1	< 0.1%
9489.970949	1	< 0.1%
9486.025796	1	< 0.1%
9483.255648	1	< 0.1%
9477.65335	1	< 0.1%
9472.491584	1	< 0.1%
9462.723773	1	< 0.1%
9460.446339	1	< 0.1%
9454.83697	1	< 0.1%

velocity_4w
Real number (ℝ)

Distinct	998318
Distinct (%)	99.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4856.324

Minimum	2825.7484
Maximum	6994.7642
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	2825.7484
5-th percentile	3118.1793
Q1	4268.3684
median	4913.4369
Q3	5488.0834
95-th percentile	6458.3201
Maximum	6994.7642
Range	4169.0158
Interquartile range (IQR)	1219.7149

Descriptive statistics

Standard deviation	919.84393
Coefficient of variation (CV)	0.18941157
Kurtosis	-0.35962526
Mean	4856.324
Median Absolute Deviation (MAD)	619.45681
Skewness	-0.060124771
Sum	4.856324 × 10⁹
Variance	846112.86
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4297.664858	3	< 0.1%
5466.870949	3	< 0.1%
4378.203667	2	< 0.1%
5699.142712	2	< 0.1%
4772.225724	2	< 0.1%
5309.843305	2	< 0.1%
4763.769048	2	< 0.1%
4366.142266	2	< 0.1%
4325.625971	2	< 0.1%
4183.649981	2	< 0.1%
Other values (998308)	999978	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2825.748405	1	< 0.1%
2863.783336	1	< 0.1%
2864.909845	1	< 0.1%
2922.99389	1	< 0.1%
2925.966963	1	< 0.1%
2930.765607	1	< 0.1%
2935.463659	1	< 0.1%
2939.194903	1	< 0.1%
2941.133963	1	< 0.1%
2943.458414	1	< 0.1%

Value	Count	Frequency (%)
6994.764201	1	< 0.1%
6988.564717	1	< 0.1%
6974.573281	1	< 0.1%
6966.17144	1	< 0.1%
6964.040026	1	< 0.1%
6961.616793	1	< 0.1%
6960.141498	1	< 0.1%
6957.582288	1	< 0.1%
6957.343895	1	< 0.1%
6956.810559	1	< 0.1%

bank_branch_count_8w
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	2326
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	184.36185

Minimum	0
Maximum	2385
Zeros	144376
Zeros (%)	14.4%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	9
Q3	25
95-th percentile	1463
Maximum	2385
Range	2385
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	459.62533
Coefficient of variation (CV)	2.493061
Kurtosis	6.5029208
Mean	184.36185
Median Absolute Deviation (MAD)	8
Skewness	2.7471608
Sum	1.8436185 × 10⁸
Variance	211255.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	149028	14.9%
0	144376	14.4%
2	57792	5.8%
11	31160	3.1%
10	30694	3.1%
12	30537	3.1%
9	29239	2.9%
13	28182	2.8%
8	27015	2.7%
14	25698	2.6%
Other values (2316)	446279	44.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	144376	14.4%
1	149028	14.9%
2	57792	5.8%
3	17595	1.8%
4	14671	1.5%
5	17605	1.8%
6	21086	2.1%
7	24174	2.4%
8	27015	2.7%
9	29239	2.9%

Value	Count	Frequency (%)
2385	1	< 0.1%
2381	1	< 0.1%
2380	1	< 0.1%
2371	1	< 0.1%
2367	1	< 0.1%
2359	1	< 0.1%
2355	1	< 0.1%
2351	2	< 0.1%
2350	1	< 0.1%
2349	1	< 0.1%

date_of_birth_distinct_emails_4w
Real number (ℝ)

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.503544

Minimum	0
Maximum	39
Zeros	1336
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	6
median	9
Q3	13
95-th percentile	19
Maximum	39
Range	39
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.0337919
Coefficient of variation (CV)	0.52967523
Kurtosis	0.43644939
Mean	9.503544
Median Absolute Deviation (MAD)	4
Skewness	0.70324987
Sum	9503544
Variance	25.339061
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
7	83193	8.3%
5	80799	8.1%
8	79491	7.9%
6	78225	7.8%
11	73456	7.3%
9	67341	6.7%
10	62681	6.3%
4	62549	6.3%
13	60773	6.1%
12	52409	5.2%
Other values (30)	299083	29.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1336	0.1%
1	14377	1.4%
2	35717	3.6%
3	44227	4.4%
4	62549	6.3%
5	80799	8.1%
6	78225	7.8%
7	83193	8.3%
8	79491	7.9%
9	67341	6.7%

Value	Count	Frequency (%)
39	2	< 0.1%
38	3	< 0.1%
37	12	< 0.1%
36	31	< 0.1%
35	49	< 0.1%
34	85	< 0.1%
33	142	< 0.1%
32	223	< 0.1%
31	273	< 0.1%
30	383	< 0.1%

employment_status
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

CA	730252
CB	138288
CF	44034
CC	37758
CD	26522
Other values (2)	23146

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2000000
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CA
2nd row	CA
3rd row	CB
4th row	CA
5th row	CA

Common Values

Value	Count	Frequency (%)
CA	730252	73.0%
CB	138288	13.8%
CF	44034	4.4%
CC	37758	3.8%
CD	26522	2.7%
CE	22693	2.3%
CG	453	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ca	730252	73.0%
cb	138288	13.8%
cf	44034	4.4%
cc	37758	3.8%
cd	26522	2.7%
ce	22693	2.3%
cg	453	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
C	1037758	51.9%
A	730252	36.5%
B	138288	6.9%
F	44034	2.2%
D	26522	1.3%
E	22693	1.1%
G	453	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2000000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	1037758	51.9%
A	730252	36.5%
B	138288	6.9%
F	44034	2.2%
D	26522	1.3%
E	22693	1.1%
G	453	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2000000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	1037758	51.9%
A	730252	36.5%
B	138288	6.9%
F	44034	2.2%
D	26522	1.3%
E	22693	1.1%
G	453	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	1037758	51.9%
A	730252	36.5%
B	138288	6.9%
F	44034	2.2%
D	26522	1.3%
E	22693	1.1%
G	453	< 0.1%

credit_risk_score
Real number (ℝ)

Distinct	551
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	130.9896

Minimum	-170
Maximum	389
Zeros	524
Zeros (%)	0.1%
Negative	14445
Negative (%)	1.4%
Memory size	7.6 MiB

Quantile statistics

Minimum	-170
5-th percentile	28
Q1	83
median	122
Q3	178
95-th percentile	255
Maximum	389
Range	559
Interquartile range (IQR)	95

Descriptive statistics

Standard deviation	69.681812
Coefficient of variation (CV)	0.53196448
Kurtosis	0.068087485
Mean	130.9896
Median Absolute Deviation (MAD)	46
Skewness	0.29589538
Sum	1.309896 × 10⁸
Variance	4855.555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
113	6791	0.7%
116	6784	0.7%
110	6774	0.7%
115	6734	0.7%
117	6717	0.7%
114	6703	0.7%
109	6676	0.7%
105	6674	0.7%
112	6653	0.7%
111	6624	0.7%
Other values (541)	932870	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-170	1	< 0.1%
-169	1	< 0.1%
-168	1	< 0.1%
-167	1	< 0.1%
-166	1	< 0.1%
-165	1	< 0.1%
-164	3	< 0.1%
-159	1	< 0.1%
-158	1	< 0.1%
-157	1	< 0.1%

Value	Count	Frequency (%)
389	1	< 0.1%
387	1	< 0.1%
386	1	< 0.1%
385	2	< 0.1%
383	1	< 0.1%
381	1	< 0.1%
380	2	< 0.1%
379	2	< 0.1%
378	5	< 0.1%
377	6	< 0.1%

email_is_free
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

1	529886
0	470114

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	529886	53.0%
0	470114	47.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	529886	53.0%
0	470114	47.0%

Most occurring characters

Value	Count	Frequency (%)
1	529886	53.0%
0	470114	47.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	529886	53.0%
0	470114	47.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	529886	53.0%
0	470114	47.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	529886	53.0%
0	470114	47.0%

housing_status
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

BC	372143
BB	260965
BA	169675
BE	169135
BD	26161
Other values (2)	1921

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2000000
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BA
2nd row	BA
3rd row	BA
4th row	BA
5th row	BA

Common Values

Value	Count	Frequency (%)
BC	372143	37.2%
BB	260965	26.1%
BA	169675	17.0%
BE	169135	16.9%
BD	26161	2.6%
BF	1669	0.2%
BG	252	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bc	372143	37.2%
bb	260965	26.1%
ba	169675	17.0%
be	169135	16.9%
bd	26161	2.6%
bf	1669	0.2%
bg	252	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
B	1260965	63.0%
C	372143	18.6%
A	169675	8.5%
E	169135	8.5%
D	26161	1.3%
F	1669	0.1%
G	252	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2000000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	1260965	63.0%
C	372143	18.6%
A	169675	8.5%
E	169135	8.5%
D	26161	1.3%
F	1669	0.1%
G	252	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2000000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	1260965	63.0%
C	372143	18.6%
A	169675	8.5%
E	169135	8.5%
D	26161	1.3%
F	1669	0.1%
G	252	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	1260965	63.0%
C	372143	18.6%
A	169675	8.5%
E	169135	8.5%
D	26161	1.3%
F	1669	0.1%
G	252	< 0.1%

phone_home_valid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0	582923
1	417077

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	582923	58.3%
1	417077	41.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	582923	58.3%
1	417077	41.7%

Most occurring characters

Value	Count	Frequency (%)
0	582923	58.3%
1	417077	41.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	582923	58.3%
1	417077	41.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	582923	58.3%
1	417077	41.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	582923	58.3%
1	417077	41.7%

phone_mobile_valid
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

1	889676
0	110324

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	889676	89.0%
0	110324	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	889676	89.0%
0	110324	11.0%

Most occurring characters

Value	Count	Frequency (%)
1	889676	89.0%
0	110324	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	889676	89.0%
0	110324	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	889676	89.0%
0	110324	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	889676	89.0%
0	110324	11.0%

bank_months_count
Real number (ℝ)

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.839303

Minimum	-1
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	253635
Negative (%)	25.4%
Memory size	7.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	5
Q3	25
95-th percentile	30
Maximum	32
Range	33
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	12.116875
Coefficient of variation (CV)	1.1178647
Kurtosis	-1.4362302
Mean	10.839303
Median Absolute Deviation (MAD)	6
Skewness	0.488747
Sum	10839303
Variance	146.81865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
-1	253635	25.4%
1	194802	19.5%
28	80082	8.0%
15	59141	5.9%
30	50777	5.1%
31	46084	4.6%
25	40450	4.0%
10	37158	3.7%
20	30850	3.1%
21	29098	2.9%
Other values (23)	177923	17.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	253635	25.4%
1	194802	19.5%
2	25836	2.6%
3	8580	0.9%
4	3834	0.4%
5	28001	2.8%
6	17678	1.8%
7	931	0.1%
8	30	< 0.1%
9	4801	0.5%

Value	Count	Frequency (%)
32	46	< 0.1%
31	46084	4.6%
30	50777	5.1%
29	11696	1.2%
28	80082	8.0%
27	4197	0.4%
26	24779	2.5%
25	40450	4.0%
24	1822	0.2%
23	320	< 0.1%

has_other_cards
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0	777012
1	222988

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	777012	77.7%
1	222988	22.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	777012	77.7%
1	222988	22.3%

Most occurring characters

Value	Count	Frequency (%)
0	777012	77.7%
1	222988	22.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	777012	77.7%
1	222988	22.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	777012	77.7%
1	222988	22.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	777012	77.7%
1	222988	22.3%

proposed_credit_limit
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	515.85101

Minimum	190
Maximum	2100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	190
5-th percentile	200
Q1	200
median	200
Q3	500
95-th percentile	1500
Maximum	2100
Range	1910
Interquartile range (IQR)	300

Descriptive statistics

Standard deviation	487.5599
Coefficient of variation (CV)	0.94515644
Kurtosis	0.16883858
Mean	515.85101
Median Absolute Deviation (MAD)	0
Skewness	1.30141
Sum	5.1585101 × 10⁸
Variance	237714.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
200	613854	61.4%
1500	145735	14.6%
500	135797	13.6%
1000	81882	8.2%
990	7580	0.8%
510	6967	0.7%
2000	6114	0.6%
490	870	0.1%
210	607	0.1%
1900	390	< 0.1%
Other values (2)	204	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
190	163	< 0.1%
200	613854	61.4%
210	607	0.1%
490	870	0.1%
500	135797	13.6%
510	6967	0.7%
990	7580	0.8%
1000	81882	8.2%
1500	145735	14.6%
1900	390	< 0.1%

Value	Count	Frequency (%)
2100	41	< 0.1%
2000	6114	0.6%
1900	390	< 0.1%
1500	145735	14.6%
1000	81882	8.2%
990	7580	0.8%
510	6967	0.7%
500	135797	13.6%
490	870	0.1%
210	607	0.1%

foreign_request
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0	974758
1	25242

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	974758	97.5%
1	25242	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	974758	97.5%
1	25242	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	974758	97.5%
1	25242	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	974758	97.5%
1	25242	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	974758	97.5%
1	25242	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	974758	97.5%
1	25242	2.5%

source
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

INTERNET	992952
TELEAPP	7048

Length

Max length	8
Median length	8
Mean length	7.992952
Min length	7

Characters and Unicode

Total characters	7992952
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INTERNET
2nd row	INTERNET
3rd row	INTERNET
4th row	INTERNET
5th row	INTERNET

Common Values

Value	Count	Frequency (%)
INTERNET	992952	99.3%
TELEAPP	7048	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
internet	992952	99.3%
teleapp	7048	0.7%

Most occurring characters

Value	Count	Frequency (%)
E	2000000	25.0%
T	1992952	24.9%
N	1985904	24.8%
I	992952	12.4%
R	992952	12.4%
P	14096	0.2%
L	7048	0.1%
A	7048	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7992952	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	2000000	25.0%
T	1992952	24.9%
N	1985904	24.8%
I	992952	12.4%
R	992952	12.4%
P	14096	0.2%
L	7048	0.1%
A	7048	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7992952	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	2000000	25.0%
T	1992952	24.9%
N	1985904	24.8%
I	992952	12.4%
R	992952	12.4%
P	14096	0.2%
L	7048	0.1%
A	7048	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7992952	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	2000000	25.0%
T	1992952	24.9%
N	1985904	24.8%
I	992952	12.4%
R	992952	12.4%
P	14096	0.2%
L	7048	0.1%
A	7048	0.1%

session_length_in_minutes
Real number (ℝ)

Distinct	994887
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.5449402

Minimum	-1
Maximum	85.899143
Zeros	0
Zeros (%)	0.0%
Negative	2015
Negative (%)	0.2%
Memory size	7.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	1.2538275
Q1	3.103053
median	5.1143213
Q3	8.8661311
95-th percentile	21.698864
Maximum	85.899143
Range	86.899143
Interquartile range (IQR)	5.7630781

Descriptive statistics

Standard deviation	8.0331064
Coefficient of variation (CV)	1.0647011
Kurtosis	14.961305
Mean	7.5449402
Median Absolute Deviation (MAD)	2.5800886
Skewness	3.304575
Sum	7544940.2
Variance	64.530798
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	2015	0.2%
9.661988782	3	< 0.1%
2.46369682	3	< 0.1%
5.323466039	3	< 0.1%
13.15259704	3	< 0.1%
5.101613717	3	< 0.1%
5.256577751	3	< 0.1%
4.638723019	3	< 0.1%
4.443947636	3	< 0.1%
7.960109353	3	< 0.1%
Other values (994877)	997958	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	2015	0.2%
0.0008720274159	1	< 0.1%
0.002297811351	1	< 0.1%
0.003262352826	1	< 0.1%
0.003563273337	1	< 0.1%
0.004286417425	1	< 0.1%
0.004588626771	1	< 0.1%
0.005553836113	1	< 0.1%
0.005618456469	1	< 0.1%
0.00579803797	1	< 0.1%

Value	Count	Frequency (%)
85.89914319	1	< 0.1%
83.37677458	1	< 0.1%
83.21353581	1	< 0.1%
82.47861609	1	< 0.1%
82.29932743	1	< 0.1%
82.25407808	1	< 0.1%
82.03736106	1	< 0.1%
82.03581613	1	< 0.1%
82.00473129	1	< 0.1%
81.83908038	1	< 0.1%

device_os
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

other	342728
linux	332712
windows	263506
macintosh	53826
x11	7228

Length

Max length	9
Median length	5
Mean length	5.72786
Min length	3

Characters and Unicode

Total characters	5727860
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	windows
2nd row	windows
3rd row	other
4th row	linux
5th row	macintosh

Common Values

Value	Count	Frequency (%)
other	342728	34.3%
linux	332712	33.3%
windows	263506	26.4%
macintosh	53826	5.4%
x11	7228	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
other	342728	34.3%
linux	332712	33.3%
windows	263506	26.4%
macintosh	53826	5.4%
x11	7228	0.7%

Most occurring characters

Value	Count	Frequency (%)
o	660060	11.5%
i	650044	11.3%
n	650044	11.3%
w	527012	9.2%
h	396554	6.9%
t	396554	6.9%
e	342728	6.0%
r	342728	6.0%
x	339940	5.9%
u	332712	5.8%
Other values (7)	1089484	19.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5713404	99.7%
Decimal Number	14456	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	660060	11.6%
i	650044	11.4%
n	650044	11.4%
w	527012	9.2%
h	396554	6.9%
t	396554	6.9%
e	342728	6.0%
r	342728	6.0%
x	339940	5.9%
u	332712	5.8%
Other values (6)	1075028	18.8%

Decimal Number

Value	Count	Frequency (%)
1	14456	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5713404	99.7%
Common	14456	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	660060	11.6%
i	650044	11.4%
n	650044	11.4%
w	527012	9.2%
h	396554	6.9%
t	396554	6.9%
e	342728	6.0%
r	342728	6.0%
x	339940	5.9%
u	332712	5.8%
Other values (6)	1075028	18.8%

Common

Value	Count	Frequency (%)
1	14456	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5727860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	660060	11.5%
i	650044	11.3%
n	650044	11.3%
w	527012	9.2%
h	396554	6.9%
t	396554	6.9%
e	342728	6.0%
r	342728	6.0%
x	339940	5.9%
u	332712	5.8%
Other values (7)	1089484	19.0%

keep_alive_session
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

1	576947
0	423053

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	576947	57.7%
0	423053	42.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	576947	57.7%
0	423053	42.3%

Most occurring characters

Value	Count	Frequency (%)
1	576947	57.7%
0	423053	42.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	576947	57.7%
0	423053	42.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	576947	57.7%
0	423053	42.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	576947	57.7%
0	423053	42.3%

device_distinct_emails_8w
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

1	968067
2	25302
0	6272
-1	359

Length

Max length	2
Median length	1
Mean length	1.000359
Min length	1

Characters and Unicode

Total characters	1000359
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	968067	96.8%
2	25302	2.5%
0	6272	0.6%
-1	359	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	968426	96.8%
2	25302	2.5%
0	6272	0.6%

Most occurring characters

Value	Count	Frequency (%)
1	968426	96.8%
2	25302	2.5%
0	6272	0.6%
-	359	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	> 99.9%
Dash Punctuation	359	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	968426	96.8%
2	25302	2.5%
0	6272	0.6%

Dash Punctuation

Value	Count	Frequency (%)
-	359	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000359	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	968426	96.8%
2	25302	2.5%
0	6272	0.6%
-	359	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000359	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	968426	96.8%
2	25302	2.5%
0	6272	0.6%
-	359	< 0.1%

device_fraud_count
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

0	1000000

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1000000
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1000000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1000000	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1000000	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1000000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1000000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1000000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1000000	100.0%

month
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.288674

Minimum	0
Maximum	7
Zeros	132440
Zeros (%)	13.2%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.2099942
Coefficient of variation (CV)	0.67200159
Kurtosis	-1.1283322
Mean	3.288674
Median Absolute Deviation (MAD)	2
Skewness	0.11239628
Sum	3288674
Variance	4.8840742
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	150936	15.1%
2	136979	13.7%
0	132440	13.2%
4	127691	12.8%
1	127620	12.8%
5	119323	11.9%
6	108168	10.8%
7	96843	9.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	132440	13.2%
1	127620	12.8%
2	136979	13.7%
3	150936	15.1%
4	127691	12.8%
5	119323	11.9%
6	108168	10.8%
7	96843	9.7%

Value	Count	Frequency (%)
7	96843	9.7%
6	108168	10.8%
5	119323	11.9%
4	127691	12.8%
3	150936	15.1%
2	136979	13.7%
1	127620	12.8%
0	132440	13.2%

Auto

Heatmap
Table

	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	credit_risk_score	bank_months_count	proposed_credit_limit	session_length_in_minutes	month	fraud_bool	payment_type	employment_status	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	has_other_cards	foreign_request	source	device_os	keep_alive_session	device_distinct_emails_8w
income	1.000	-0.039	0.016	-0.030	0.142	-0.022	0.099	-0.079	-0.099	-0.108	-0.116	0.024	-0.066	0.181	0.010	0.135	-0.078	0.119	0.056	0.031	0.059	0.025	0.088	0.025	0.015	0.087	0.012	0.011	0.038	0.044	0.012
name_email_similarity	-0.039	1.000	-0.038	0.055	-0.047	-0.028	0.063	0.021	0.025	0.031	0.050	-0.018	0.024	0.048	-0.013	0.075	0.023	-0.040	0.045	0.070	0.039	0.074	0.050	0.031	0.038	0.033	0.026	0.012	0.042	0.038	0.019
prev_address_months_count	0.016	-0.038	1.000	-0.653	-0.143	0.024	-0.047	-0.074	0.000	0.023	0.020	-0.071	0.142	-0.029	-0.080	-0.036	0.083	-0.011	0.028	0.043	0.026	0.024	0.055	0.044	0.022	0.043	0.017	0.012	0.025	0.043	0.011
current_address_months_count	-0.030	0.055	-0.653	1.000	0.163	-0.026	0.113	0.068	0.023	0.003	0.007	0.050	-0.204	0.083	0.084	0.115	-0.060	-0.010	0.057	0.061	0.058	0.090	0.186	0.133	0.091	0.075	0.025	0.019	0.053	0.063	0.019
customer_age	0.142	-0.047	-0.143	0.163	1.000	0.010	-0.021	-0.025	-0.027	-0.019	-0.014	0.041	-0.442	0.166	0.013	0.152	0.014	0.014	0.067	0.047	0.171	0.047	0.178	0.216	0.155	0.129	0.015	0.030	0.080	0.066	0.035
days_since_request	-0.022	-0.028	0.024	-0.026	0.010	1.000	-0.034	-0.034	0.064	0.046	0.022	0.014	-0.042	-0.091	-0.006	-0.075	0.054	-0.022	0.006	0.075	0.012	0.019	0.026	0.047	0.010	0.055	0.007	0.017	0.013	0.002	0.013
intended_balcon_amount	0.099	0.063	-0.047	0.113	-0.021	-0.034	1.000	0.013	0.036	0.071	0.069	0.166	-0.033	0.013	0.208	0.096	0.049	-0.056	0.033	0.436	0.036	0.018	0.071	0.027	0.052	0.123	0.013	0.014	0.055	0.025	0.023
zip_count_4w	-0.079	0.021	-0.074	0.068	-0.025	-0.034	0.013	1.000	0.149	0.217	0.293	0.017	0.136	-0.104	0.053	-0.023	0.050	-0.288	0.008	0.064	0.035	0.031	0.037	0.079	0.029	0.058	0.025	0.017	0.020	0.048	0.019
velocity_6h	-0.099	0.025	0.000	0.023	-0.027	0.064	0.036	0.149	1.000	0.473	0.405	0.026	0.115	-0.151	0.022	-0.049	0.065	-0.414	0.018	0.069	0.035	0.049	0.045	0.050	0.024	0.044	0.008	0.015	0.037	0.035	0.025
velocity_24h	-0.108	0.031	0.023	0.003	-0.019	0.046	0.071	0.217	0.473	1.000	0.545	0.046	0.151	-0.156	0.027	-0.010	0.091	-0.555	0.016	0.069	0.040	0.055	0.041	0.061	0.031	0.064	0.024	0.014	0.031	0.049	0.033
velocity_4w	-0.116	0.050	0.020	0.007	-0.014	0.022	0.069	0.293	0.405	0.545	1.000	0.046	0.227	-0.199	0.034	0.004	0.116	-0.854	0.019	0.089	0.049	0.063	0.065	0.097	0.054	0.089	0.039	0.022	0.053	0.112	0.048
bank_branch_count_8w	0.024	-0.018	-0.071	0.050	0.041	0.014	0.166	0.017	0.026	0.046	0.046	1.000	-0.015	-0.030	0.507	0.014	0.005	-0.051	0.018	0.137	0.021	0.010	0.026	0.073	0.025	0.066	0.004	0.016	0.026	0.009	0.011
date_of_birth_distinct_emails_4w	-0.066	0.024	0.142	-0.204	-0.442	-0.042	-0.033	0.136	0.115	0.151	0.227	-0.015	1.000	-0.135	-0.014	-0.052	-0.029	-0.233	0.056	0.086	0.134	0.061	0.085	0.184	0.112	0.057	0.034	0.027	0.045	0.051	0.033
credit_risk_score	0.181	0.048	-0.029	0.083	0.166	-0.091	0.013	-0.104	-0.151	-0.156	-0.199	-0.030	-0.135	1.000	-0.052	0.631	-0.042	0.192	0.086	0.052	0.058	0.040	0.134	0.021	0.029	0.143	0.016	0.015	0.065	0.047	0.034
bank_months_count	0.010	-0.013	-0.080	0.084	0.013	-0.006	0.208	0.053	0.022	0.027	0.034	0.507	-0.014	-0.052	1.000	-0.005	0.019	-0.033	0.025	0.288	0.055	0.019	0.047	0.077	0.028	0.040	0.014	0.033	0.035	0.031	0.021
proposed_credit_limit	0.135	0.075	-0.036	0.115	0.152	-0.075	0.096	-0.023	-0.049	-0.010	0.004	0.014	-0.052	0.631	-0.005	1.000	-0.000	-0.012	0.108	0.058	0.056	0.050	0.134	0.043	0.029	0.129	0.029	0.013	0.060	0.065	0.025
session_length_in_minutes	-0.078	0.023	0.083	-0.060	0.014	0.054	0.049	0.050	0.065	0.091	0.116	0.005	-0.029	-0.042	0.019	-0.000	1.000	-0.109	0.016	0.029	0.026	0.043	0.028	0.047	0.016	0.115	0.013	0.039	0.035	0.048	0.046
month	0.119	-0.040	-0.011	-0.010	0.014	-0.022	-0.056	-0.288	-0.414	-0.555	-0.854	-0.051	-0.233	0.192	-0.033	-0.012	-0.109	1.000	0.018	0.091	0.052	0.076	0.070	0.106	0.056	0.095	0.037	0.023	0.056	0.121	0.049
fraud_bool	0.056	0.045	0.028	0.057	0.067	0.006	0.033	0.008	0.018	0.016	0.019	0.018	0.056	0.086	0.025	0.108	0.016	0.018	1.000	0.039	0.040	0.028	0.115	0.035	0.013	0.035	0.017	0.004	0.080	0.050	0.047
payment_type	0.031	0.070	0.043	0.061	0.047	0.075	0.436	0.064	0.069	0.069	0.089	0.137	0.086	0.052	0.288	0.058	0.029	0.091	0.039	1.000	0.057	0.030	0.098	0.078	0.057	0.145	0.025	0.062	0.063	0.033	0.044
employment_status	0.059	0.039	0.026	0.058	0.171	0.012	0.036	0.035	0.035	0.040	0.049	0.021	0.134	0.058	0.055	0.056	0.026	0.052	0.040	0.057	1.000	0.016	0.108	0.142	0.143	0.045	0.021	0.037	0.059	0.062	0.037
email_is_free	0.025	0.074	0.024	0.090	0.047	0.019	0.018	0.031	0.049	0.055	0.063	0.010	0.061	0.040	0.019	0.050	0.043	0.076	0.028	0.030	0.016	1.000	0.090	0.014	0.032	0.032	0.029	0.000	0.154	0.023	0.008
housing_status	0.088	0.050	0.055	0.186	0.178	0.026	0.071	0.037	0.045	0.041	0.065	0.026	0.085	0.134	0.047	0.134	0.028	0.070	0.115	0.098	0.108	0.090	1.000	0.100	0.090	0.081	0.027	0.024	0.076	0.066	0.025
phone_home_valid	0.025	0.031	0.044	0.133	0.216	0.047	0.027	0.079	0.050	0.061	0.097	0.073	0.184	0.021	0.077	0.043	0.047	0.106	0.035	0.078	0.142	0.014	0.100	1.000	0.272	0.107	0.003	0.012	0.062	0.042	0.013
phone_mobile_valid	0.015	0.038	0.022	0.091	0.155	0.010	0.052	0.029	0.024	0.031	0.054	0.025	0.112	0.029	0.028	0.029	0.016	0.056	0.013	0.057	0.143	0.032	0.090	0.272	1.000	0.005	0.003	0.023	0.081	0.023	0.062
has_other_cards	0.087	0.033	0.043	0.075	0.129	0.055	0.123	0.058	0.044	0.064	0.089	0.066	0.057	0.143	0.040	0.129	0.115	0.095	0.035	0.145	0.045	0.032	0.081	0.107	0.005	1.000	0.001	0.019	0.041	0.098	0.028
foreign_request	0.012	0.026	0.017	0.025	0.015	0.007	0.013	0.025	0.008	0.024	0.039	0.004	0.034	0.016	0.014	0.029	0.013	0.037	0.017	0.025	0.021	0.029	0.027	0.003	0.003	0.001	1.000	0.008	0.057	0.015	0.009
source	0.011	0.012	0.012	0.019	0.030	0.017	0.014	0.017	0.015	0.014	0.022	0.016	0.027	0.015	0.033	0.013	0.039	0.023	0.004	0.062	0.037	0.000	0.024	0.012	0.023	0.019	0.008	1.000	0.076	0.084	0.410
device_os	0.038	0.042	0.025	0.053	0.080	0.013	0.055	0.020	0.037	0.031	0.053	0.026	0.045	0.065	0.035	0.060	0.035	0.056	0.080	0.063	0.059	0.154	0.076	0.062	0.081	0.041	0.057	0.076	1.000	0.065	0.037
keep_alive_session	0.044	0.038	0.043	0.063	0.066	0.002	0.025	0.048	0.035	0.049	0.112	0.009	0.051	0.047	0.031	0.065	0.048	0.121	0.050	0.033	0.062	0.023	0.066	0.042	0.023	0.098	0.015	0.084	0.065	1.000	0.116
device_distinct_emails_8w	0.012	0.019	0.011	0.019	0.035	0.013	0.023	0.019	0.025	0.033	0.048	0.011	0.033	0.034	0.021	0.025	0.046	0.049	0.047	0.044	0.037	0.008	0.025	0.013	0.062	0.028	0.009	0.410	0.037	0.116	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	fraud_bool	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	payment_type	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	employment_status	credit_risk_score	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	bank_months_count	has_other_cards	proposed_credit_limit	foreign_request	source	session_length_in_minutes	device_os	keep_alive_session	device_distinct_emails_8w	month
0	1	0.9	0.166828	-1	88	50	0.020925	-1.331345	AA	769	10650.765523	3134.319630	3863.647740	1	6	CA	185	0	BA	1	0	24	0	500.0	0	INTERNET	3.888115	windows	0	1	7
1	1	0.9	0.296286	-1	144	50	0.005418	-0.816224	AB	366	534.047319	2670.918292	3124.298166	718	3	CA	259	1	BA	0	0	15	0	1500.0	0	INTERNET	31.798819	windows	0	1	7
2	1	0.9	0.044985	-1	132	40	3.108549	-0.755728	AC	870	4048.534263	2893.621498	3159.590679	1	14	CB	177	1	BA	0	1	-1	0	200.0	0	INTERNET	4.728705	other	0	1	7
3	1	0.9	0.159511	-1	22	50	0.019079	-1.205124	AB	810	3457.064063	4054.908412	3022.261812	1921	6	CA	110	1	BA	0	1	31	1	200.0	0	INTERNET	2.047904	linux	0	1	7
4	1	0.9	0.596414	-1	218	50	0.004441	-0.773276	AB	890	5020.341679	2728.237159	3087.670952	1990	2	CA	295	1	BA	1	0	31	0	1500.0	0	INTERNET	3.775225	macintosh	1	1	7
5	1	0.3	0.143921	-1	30	30	0.028231	-0.748282	AD	732	3223.248406	3804.803402	5078.692467	5	13	CA	199	1	BB	0	1	15	0	200.0	0	INTERNET	4.815073	windows	0	1	7
6	1	0.7	0.321554	-1	152	30	0.030680	-0.278994	AB	876	5515.771548	2653.430035	3089.788379	13	10	CA	272	1	BA	1	1	30	0	1500.0	0	INTERNET	1.558977	windows	1	1	7
7	1	0.9	0.064817	-1	18	50	0.034557	-1.265721	AB	901	4736.214496	6733.703890	3826.129170	40	1	CB	83	1	BB	1	0	28	0	200.0	1	INTERNET	2.637472	linux	0	1	7
8	1	0.7	0.065938	-1	64	40	0.020691	-1.442082	AB	933	6101.250655	3849.761426	3089.271130	2134	4	CC	222	0	BA	1	1	30	0	1500.0	0	INTERNET	2.175419	windows	1	1	7
9	1	0.9	0.700096	-1	60	40	0.016809	-1.070271	AB	1176	4504.470396	3793.831786	3061.245889	8	2	CB	118	1	BC	0	1	25	0	200.0	0	INTERNET	24.040726	windows	0	1	7

	income	name_email_similarity	prev_address_months_count	current_address_months_count	customer_age	days_since_request	intended_balcon_amount	payment_type	zip_count_4w	velocity_6h	velocity_24h	velocity_4w	bank_branch_count_8w	date_of_birth_distinct_emails_4w	employment_status	credit_risk_score	email_is_free	housing_status	phone_home_valid	phone_mobile_valid	bank_months_count	proposed_credit_limit	source	session_length_in_minutes	device_os	keep_alive_session	device_distinct_emails_8w	month
999990	0.3	0.251473	-1	66	30	0.010997	-0.399646	AB	884	2821.429662	3743.469548	4435.724355	13	17	CF	58	0	BB	0	1	15	200.0	INTERNET	2.952514	windows	1	1	4
999991	0.5	0.069609	-1	55	40	0.020701	-2.043942	AB	1114	7428.116057	3867.179098	5010.731644	47	14	CF	104	1	BC	1	0	31	200.0	INTERNET	3.264598	other	0	1	4
999992	0.1	0.904650	11	1	10	0.018529	-1.153810	AD	3864	3303.719717	5873.660102	4914.781974	12	11	CA	104	1	BE	0	1	1	200.0	INTERNET	19.006557	linux	0	1	4
999993	0.2	0.322666	29	11	20	71.370152	-1.624459	AC	1412	5933.759614	5742.646878	5010.166540	0	10	CA	177	0	BC	0	1	-1	500.0	INTERNET	4.237440	windows	1	1	4
999994	0.1	0.516887	-1	31	20	0.027890	-1.031909	AD	3000	3928.840047	4384.832289	4171.974570	9	15	CE	52	0	BE	0	1	22	200.0	INTERNET	1.706083	other	1	1	4
999995	0.6	0.192631	-1	104	40	0.030592	-1.044454	AB	804	7905.711839	8341.468557	4972.635997	1	8	CA	75	1	BC	1	1	25	200.0	INTERNET	8.511502	linux	1	1	4
999996	0.8	0.322989	148	9	50	1.628119	-1.409803	AC	3306	5391.470463	4955.170808	5022.728108	0	2	CC	154	1	BC	1	1	-1	200.0	INTERNET	8.967865	windows	0	1	4
999997	0.8	0.879403	-1	30	20	0.018563	34.692760	AA	1522	8063.102636	5670.654316	4377.196321	2023	6	CF	64	0	BC	0	1	11	200.0	INTERNET	8.195531	other	0	1	4
999998	0.9	0.762112	-1	189	20	0.015352	94.661055	AA	1418	8092.641762	3982.582204	4394.803296	1678	6	CA	163	0	BA	1	0	28	500.0	INTERNET	4.336064	windows	1	1	4
999999	0.2	0.697452	-1	321	20	2.655916	9.908499	AA	951	6169.630036	3695.308261	4352.334543	2	12	CA	36	1	BE	0	1	15	200.0	INTERNET	6.717022	linux	0	1	4

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII